Attack surface management

Attack surface management (ASM) is the continuous process of discovering, monitoring, analyzing, and reducing the potential entry points that cybercriminals can exploit to compromise an organization's systems, applications, identities, devices, and data. As organizations adopt cloud services, remote work, Internet of Things (IoT) devices, software-as-a-service (SaaS) applications, and increasingly interconnected business ecosystems, their digital attack surfaces continue to expand. Attack surface management helps security teams maintain visibility into these environments through automated asset discovery and an automated asset inventory that supports shadow IT identification by continuously identifying authorized assets alongside unauthorized, forgotten, and unmanaged assets before they become security liabilities. Rather than relying on periodic audits, ASM provides ongoing visibility into the organization's technology landscape, making it easier to identify new exposures as they emerge.

A modern ASM program combines continuous monitoring with advanced analytics to improve threat identification and reduce vulnerability and threat exposure. Organizations use external attack surface management (EASM) to identify internet-facing assets that attackers can discover, including public websites, externally accessible cloud resources, exposed services, APIs, and third-party infrastructure. ASM platforms often incorporate continuous threat intelligence from public intelligence feeds, vulnerability databases, and monitoring of dark web activity to identify compromised credentials, leaked information, or newly disclosed exploits that could increase organizational risk. Features such as misconfiguration mapping detect insecure system configurations, while exploitability analysis evaluates the likelihood that a discovered vulnerability could be successfully exploited based on factors such as exploit availability and observed threat activity. These capabilities help security teams focus remediation efforts where they will have the greatest impact.

Because organizations often manage thousands or even millions of digital assets, effective ASM emphasizes prioritization rather than simply generating large numbers of alerts. Contextual risk scoring evaluates factors such as asset criticality, business context, known vulnerabilities, exploit availability, and observed threat activity to support risk prioritization based on potential business impact rather than vulnerability severity scores alone. Many ASM platforms also provide an actionable dashboard that consolidates asset visibility, security findings, remediation status, and security trends into a single interface. Through integration with vulnerability management, security information and event management (SIEM), identity security, endpoint protection, and ticketing platforms, ASM enables security teams to coordinate response efforts more efficiently. ASM also supports third-party risk management by identifying exposed digital assets associated with vendors, contractors, and business partners whose security posture can directly affect the organization.

As attack surfaces increasingly include identities and privileged access — not just devices and infrastructure — organizations benefit from combining attack surface management with purpose-built identity security solutions. Imprivata helps reduce identity-related attack surfaces with Imprivata Enterprise Access Management (EAM) and advanced passwordless access to secure workforce authentication, manage third-party access, and reduce credential-based risks. Strong authentication, passwordless workflows, privileged access controls, and centralized identity management help eliminate unnecessary access pathways while reducing the risks posed by compromised credentials, unmanaged identities, and third-party access. Together, these capabilities complement broader ASM strategies by strengthening identity security across modern, highly distributed enterprise environments.